Sensata Technologies Holding (ST) Return on Sales [ROS] (2010 - 2026)
Sensata Technologies Holding (ST) posted Return on Sales [ROS] of 16.70% for Q2 2026, up 2.06 percentage points from 14.64% a year earlier and up 1.55 percentage points from the prior quarter.
Sensata Technologies Holding (ST) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Sensata Technologies Holding was 7.53%, up 3.93 percentage points year-over-year; for FY2025, it came in at 6.41%, up 2.61 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -4.68 percentage points (FY2020 to FY2025).
- In prior years, Sensata Technologies Holding's Return on Sales [ROS] was 3.80% in FY2024 (-0.69 pp), 4.48% in FY2023 (-12.15 pp), 16.63% in FY2022 (+0.06 pp) and 16.57% in FY2021 (+5.48 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2022.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last five quarters, with an average year-over-year change of +1.41 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 28.42 percentage points; the weakest was Q4 2023, with a drop of 35.31 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 15.15% (Q1 2026), 10.91% (Q4 2025) and -13.19% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 26.67% |
| 10 | Sensata Technologies Holding | 6.16 Bn | 3.76 Bn | 301.80 Mn | 16.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.70% |
| Mar 31, 2026 | 15.15% |
| Dec 31, 2025 | 10.91% |
| Sep 30, 2025 | -13.19% |
| Jun 30, 2025 | 14.64% |
| Mar 31, 2025 | 13.41% |
| Dec 31, 2024 | 8.13% |
| Sep 30, 2024 | -20.27% |
| Jun 30, 2024 | 12.55% |
| Mar 31, 2024 | 14.38% |
| Dec 31, 2023 | -20.29% |
| Sep 30, 2023 | 11.61% |
| Jun 30, 2023 | 11.11% |
| Mar 31, 2023 | 14.91% |
| Dec 31, 2022 | 15.02% |
| Sep 30, 2022 | 24.84% |
| Jun 30, 2022 | 13.61% |
| Mar 31, 2022 | 12.91% |
| Dec 31, 2021 | 16.02% |
| Sep 30, 2021 | 16.96% |
Sensata Technologies Holding Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=ST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=ST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();